2020
DOI: 10.1007/s10955-020-02576-2
|View full text |Cite
|
Sign up to set email alerts
|

Thermalization of Local Observables in the $$\alpha $$-FPUT Chain

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
12
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(12 citation statements)
references
References 104 publications
0
12
0
Order By: Relevance
“…Thus, α is the origin of nonlinearity in the system. Note that the cubic potential of the α-FPUT system implies that the system stays bounded only if the total energy is sufficiently small and the precise condition is E < µ 3 /(6α 2 ), corresponding to all energy contributing to the potential energy of a single particle [13]. In practice this is highly improbable and one can work with energies slightly higher than this bound.…”
Section: A the Fput Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, α is the origin of nonlinearity in the system. Note that the cubic potential of the α-FPUT system implies that the system stays bounded only if the total energy is sufficiently small and the precise condition is E < µ 3 /(6α 2 ), corresponding to all energy contributing to the potential energy of a single particle [13]. In practice this is highly improbable and one can work with energies slightly higher than this bound.…”
Section: A the Fput Problemmentioning
confidence: 99%
“…As far as the question of if and when the FPUT chain thermalizes is concerned, there have been many studies done to investigate this. Some of the methods include the closeness to integrability and soliton solutions [3], stochasticity threshold [4,5], Lyapunov exponent studies [6][7][8], breather solutions [9][10][11][12] and local equilibration studies [13]. More recently the formalism of wave turbulence [14,15] was applied to the FPUT chain [16][17][18][19] in order to explain the dependence of equilibration time on the nonlinearity parameter.…”
Section: Introductionmentioning
confidence: 99%
“…While in non-pathological cases these two kind of averages are usually expected to yield the same kind of results, there are situations where the choice of initial conditions and the choice of the averaging procedure are of crucial importance, in particular for the behaviour of transients. This issue has been investigated in depth for the FPUT model [21][22][23][24], for which it has been shown explicitly how some particular choices of initial conditions, e.g., the choice of Fourier modes initial phases [22], strongly affect the duration of transients. Quite remarkably, in [24] it was then presented a first evidence that an appropriate choice of conditions (or, more generally, an appropriate choice of degrees of freedom as we will show in the following) allows to find thermalization even in the Toda model, a result in perfect agreement with the recent findings of two of us [9].…”
Section: Random Modes Thermalizationmentioning
confidence: 99%
“…This issue has been investigated in depth for the FPUT model [21][22][23][24], for which it has been shown explicitly how some particular choices of initial conditions, e.g., the choice of Fourier modes initial phases [22], strongly affect the duration of transients. Quite remarkably, in [24] it was then presented a first evidence that an appropriate choice of conditions (or, more generally, an appropriate choice of degrees of freedom as we will show in the following) allows to find thermalization even in the Toda model, a result in perfect agreement with the recent findings of two of us [9]. Coming back to the definition of n eff (θ , t), which, physically, is analogous to an inverse participation ratio, we have that it reads as:…”
Section: Random Modes Thermalizationmentioning
confidence: 99%
“…At the same time, the equipartition of observables weakly correlated to the actions of an integrable limit may show fast equilibration, as studied e.g. for local energies of an FPUT model [17]. Thus, the choice of observables impacts the thermalization timescale analysis.…”
Section: Introductionmentioning
confidence: 99%